Evidence map›Paper›PMID 38098006›Full record

ArticleBMC medical education2023

Association of applicant demographic factors with medical school acceptance.

Michael A Perez, Cheyenne Williams, Korey Henderson, Ryan McGregor, Neha Vapiwala, Judy A Shea, C Jessica Dine

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Michael A PerezDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, US.
Cheyenne WilliamsDepartment of Urology, Hospital of the University of Pennsylvania, Philadelphia, PA, US.
Korey Henderson *Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US.
Ryan McGregor *Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US.
Neha VapiwalaPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US.
Judy A Shea *Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US.
C Jessica Dine *Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US. constance.dine@pennmedicine.upenn.edu.
Hospital of the University of Pennsylvania · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical school acceptance rates in the United States (US) have been lower for applicants who identify as Underrepresented-in-Medicine (UiM) compared to non-UiM applicants. The gap between UiM and no-UiM groups is narrowing in recent years. Less well-studied are associations of acceptance decisions with family income and parental education. This study's purpose is to evaluate the relationships between medical school acceptance and family income, parental education status, racial/ethnic background, Grade Point Average (GPA), Medical College Admission Test (MCAT) score, and participation in extracurricular activities.

methodsThis is a cross-sectional study of first-time US medical school applicants between 2017 and 2020. Acceptance rates for first-time applicants were calculated for first-generation (FG), low-income (LI), and UiM applicants. Associations of these attributes with MCAT scores, science GPAs, and seven categories of extracurricular activities were evaluated. Regression analyses estimated associations between acceptance to medical school with all variables with and without interaction terms (FG*URM, LI*URM, FG*LI).

resultsThe overall acceptance rate for first-time applicants from 2017-2020 was 45.3%. The acceptance rates among FG, LI and UiM applicants were 37.9%, 39.6% and 44.2%, respectively. In univariable logistic regression analyses, acceptance was negatively associated with being FG (OR: 0.68, CI: 0.67-0.70), LI (OR: 0.70, CI: 0.69-0.72), and UiM (OR: 0.95, CI: 0.93-0.97). In multivariable regression, acceptance was most strongly associated with science GPA (OR: 7.15, CI: 6.78-7.54 for the highest quintile) and UiM (OR: 5.56, CI: 5.48-5.93) status and MCAT score (OR: 1.19, CI: 1.18-1.19), FG (OR: 1.14, CI: 1.10-1.18), and most extracurricular activities. Including interaction terms revealed a negative association between acceptance and LI (OR:0.90, CI: 0.87-0.94) and FG was no longer significant (OR:1.10, CI:0.96-1.08).

conclusionsCollectively these results suggest medical school admissions committees may be relying on holistic admission practices. While MCAT and GPA scores continue to predict acceptance, individuals from racially and ethnically UiM backgrounds have favorable odds of acceptance when controlling for MCAT and GPA. However, these positive associations were not seen for low-income and first-generation applicants. Additional preparation for college and the MCAT for these latter groups may help further diversify the medical profession.

Indexed as

School Admission CriteriaSchools, MedicalCollege Admission TestCross-Sectional StudiesEthnicityHumansUnited StatesFirst-generation applicantsHolistic admissionsLow-income applicantsMedical school admission

Identifiers

PMID38098006
PMCPMC10720109
OpenAlexW4389735984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.